529d34af83
API client (src/lib/api.ts):
- TriggerKind gains 'queue'
- TriggerDetails gains { kind: 'queue', queue_name, visibility_timeout_secs, last_fired_at }
- CreateQueueTriggerInput, QueueSummary, QueueConsumer, QueueDetail
- api.triggers.createQueue(idOrSlug, input) -> POST /admin/.../triggers/queue
- api.queues.list(idOrSlug) -> GET /admin/.../queues
- api.queues.get(idOrSlug, name) -> GET /admin/.../queues/{name}
New routes:
- /apps/[slug]/queues — read-only list view (queue_name, total, pending,
claimed, drilldown link); empty state explains how queues are created
(first enqueue) and that consumers register via the Triggers tab
- /apps/[slug]/queues/[name] — drilldown showing depth + registered
consumer (script name + visibility timeout + last_fired_at + trigger
id); empty consumer state surfaces clearly
App detail page (src/routes/apps/[slug]/+page.svelte):
- New "Queues" link in the app-level nav between Files and Dead letters
- Triggers tab gains a "Queue:receive trigger (v1.1.9)" form alongside
cron/pubsub/email — target script select, queue_name, visibility
timeout (5–3600s, default 30), max_attempts (1–20, default 3)
- Trigger list renders queue triggers with queue_name + visibility
timeout + last_fired_at
dashboard/package.json: 0.14.0 -> 0.15.0
npm run check — all queue/invoke-related code typechecks clean; the
existing Playwright test errors (149 unrelated) carry forward unchanged.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
PiCloud
A lightweight, self-hosted, event-driven serverless compute platform. Upload a Rhai script, get an HTTP endpoint. Designed to run on a single modest server with no idle CPU cost, and to scale out to a small cluster when you need it.
Status: Phase 1 — MVP scaffolding in progress.
The authoritative design lives in
serverless_cloud_blueprint.md.
Why
Existing serverless platforms are either cloud-locked, heavyweight, or both. PiCloud aims for the opposite end of the spectrum: one binary, one database, one reverse proxy — running on hardware you already own.
Architecture (one paragraph)
PiCloud splits into three logical services — manager (control plane: scripts, schedules, dashboard), orchestrator (per-node event ingress and dispatch), and executor (per-node Rhai sandbox) — each backed by a *-core Rust library. In MVP they run in a single process; in cluster mode they run as three binaries with one manager and one orchestrator + executor per node. Caddy fronts everything; PostgreSQL is the single source of truth.
See CLAUDE.md for working notes and serverless_cloud_blueprint.md for the full design.
Quick Start
Coming as scaffolding lands. For now:
# Rust toolchain (pinned via rust-toolchain.toml)
cargo check --workspace
# Run the all-in-one MVP binary (once main.rs is wired up)
cargo run -p picloud
Repository Layout
crates/
shared/ cross-cutting types
executor-core/ Rhai engine + sandbox
orchestrator-core/ event ingress, dispatch
manager-core/ control plane
picloud/ MVP all-in-one binary
picloud-{manager,orchestrator,executor}/ cluster-mode binaries (skeleton)
dashboard/ SvelteKit
caddy/ Caddyfile
docker/ Dockerfiles
docs/
git-workflow.md Trunk-based workflow
Contributing
See docs/git-workflow.md for the branching and commit conventions. TL;DR: trunk-based, short-lived branches, Conventional Commits, no force-pushing main.
License
TBD.